Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Enhanced surface water flood forecasts
T2 - User-led development and testing
AU - Birch, C.E.
AU - Rabb, B.L.
AU - Böing, S.J.
AU - Shelton, K.L.
AU - Lamb, R.
AU - Hunter, N.
AU - Trigg, M.A.
AU - Hines, A.
AU - Taylor, A.L.
AU - Pilling, C.
AU - Dale, M.
PY - 2021/6/30
Y1 - 2021/6/30
N2 - The risk of surface water flooding (SWF) in England is already high and its frequency and severity is projected to increase in the future. SWF generally occurs due to intense, highly localised rainfall, which is challenging to forecast with sufficient accuracy to take proactive action ahead of flood events. Being able to manage the risk effectively lies in improved rainfall and flood forecast products, better communication of uncertainty and building the capacity of local responders. This study utilises state-of-the-art high-resolution ensemble rainfall forecasts and hydraulic modelling tools alongside a novel post-processing method to develop and trial new SWF forecast products within an incident workshop attended by forecast producers and regional forecast users. Twenty-two of 24 workshop participants reported that the new information would be useful to their organisation but more product development and training in its interpretation is required. Specific recommendations to improve SWF forecast provision include increased support for local government through a single government organisation responsible for SWF, making more use of existing static SWF mapping in a real-time context and employing the process of user-based consultation, as outlined in this study, to guide the future development of future SWF forecast information and processes.
AB - The risk of surface water flooding (SWF) in England is already high and its frequency and severity is projected to increase in the future. SWF generally occurs due to intense, highly localised rainfall, which is challenging to forecast with sufficient accuracy to take proactive action ahead of flood events. Being able to manage the risk effectively lies in improved rainfall and flood forecast products, better communication of uncertainty and building the capacity of local responders. This study utilises state-of-the-art high-resolution ensemble rainfall forecasts and hydraulic modelling tools alongside a novel post-processing method to develop and trial new SWF forecast products within an incident workshop attended by forecast producers and regional forecast users. Twenty-two of 24 workshop participants reported that the new information would be useful to their organisation but more product development and training in its interpretation is required. Specific recommendations to improve SWF forecast provision include increased support for local government through a single government organisation responsible for SWF, making more use of existing static SWF mapping in a real-time context and employing the process of user-based consultation, as outlined in this study, to guide the future development of future SWF forecast information and processes.
KW - convective rainfall
KW - engagement
KW - ensemble forecasting
KW - flood forecasting
KW - intense rainfall
KW - pluvial flooding
KW - surface water flooding
KW - user-led testing
U2 - 10.1111/jfr3.12691
DO - 10.1111/jfr3.12691
M3 - Journal article
VL - 14
JO - Journal of Flood Risk Management
JF - Journal of Flood Risk Management
SN - 1753-318X
IS - 2
M1 - e12691
ER -